AECOM is seeking a Senior Business Systems Analyst to help shape how the business operates today and how it evolves for the future. This role sits at the intersection of business processes, systems thinking, and AI enablement, with primary ownership of understanding complex business processes and translating them into clear, scalable, and actionable designs.
The role ensures processes are defined in an AI-ready form, with clear intents, decisions, data requirements, human-in-the-loop boundaries, and measurable outcomes, so that AI and automation can operate safely, explainably, and with sustained business value.
You will work closely with business stakeholders, Product, Architecture, and Engineering teams to uncover how processes truly function, define intended outcomes and success measures, and identify how systems and AI-enabled capabilities can improve performance at scale.
This position will offer flexibility for hybrid work schedules to include both in-office presence and telecommute/virtual work, to be based from either Houston or Dallas, TX.
What You’ll Do
- Lead process discovery through stakeholder interviews and workshops, building a deep understanding of business processes, pain points, rules, and outcomes
- Design and document as-is and to-be processes, focusing on process intent, value streams, and system-level behavior
- Translate process insights into clear artifacts such as process flows, BRDs, and analysis summaries that inform downstream solution design
- Apply systems-thinking and an AI-enabled lens to processes, identifying opportunities for automation, decision support, and operational intelligence
- Define AI-ready process specifications, including intents, decision logic, data inputs/outputs, human-in-the-loop points, escalation paths, and guardrails
- Partner with Product, Architecture, and Engineering to align processes with system boundaries, event signals, data quality requirements, and agentic inputs
- Establish outcome measures and KPIs and support post-go-live tracking, governance, and Responsible AI requirements
- Support validation, UAT readiness, and continuous improvement by incorporating operational feedback and user corrections over time